About HIVED 📦

At HIVED, we’re steamrolling forward as one of Europe’s fastest growing startups, and our momentum shows no signs of slowing.

Based in London, we are a climate and logistics start-up building the first sustainable parcel delivery network at scale, powered by a 100% electric fleet. In an ever-growing industry where unreliable service has long been the norm, HIVED has been built from the ground-up to meet the demands of modern consumers and disrupt parcel delivery.

A tech company at heart, our talent and technology is laser-focused on delivering the best possible delivery experience for end-customers and meeting the needs of our retail partners. From our drivers to our data engineers, we are constantly working to improve this customer experience that makes us deliver better.

Already trusted by leading international brands such as John Lewis, Nespresso, Uniqlo, H&M brands and more, we are solidifying our position as the leaders in Europe to tackle this growing market.

Our tight-knit team is made up of ex-Revolut, Bain, HelloFresh, ASOS, Apple and Google employees, and we are backed by some of Europe’s leading investors and VCs in climate-tech, logistics and mobility including Planet A Ventures, Maersk Growth, Pale Blue Dot VC, Eka Ventures, NordicNinja VC and the British government. We’re passionate about driving innovation and redefining the future of delivery.

Role Overview 📝

We are looking for an ambitious, curious and versatile Senior Data Engineer to drive business impact through a robust and flexible data platform. Our ideal future team mate cares deeply about delivering a world-class, reliable data platform and developer experience that supercharges the work of analysts, analytics engineers and data scientists across the company.

We believe in high degrees of ownership and creating an edge through intelligent use of technology and data in an industry that has been stuck in its ways for too long - for better or worse. That’s why we bet on an embedded model in which engineers work in domain-centered, cross-functional squads to create meaningful business context and encourage taking the initiative for impactful projects from day one. We hone our craft and grow our skills as data professionals through functional reporting lines, regular forums and informal knowledge sharing sessions across the Data and wider HIVEDmind (Tech, Data and Product) organisation.

As a Senior Data Engineer, you will work in a hybrid role: while you will help your squad meet its goals, your primary mandate is the long-term integrity and scalability of our core data infrastructure.
Your day-to-day activities will range from ideating and implementing core data platform features, creating a strategic vision and guidance for our data platform and development experience all the way to delivering squad-level features that leverage data to meet squad goals (e.g. sophisticated reverse ETL solutions). This is a highly collaborative role, embedded in a squad with team mates from Data, Tech and Product but also collaborating across squads with other analytics engineers or data scientists to empower their work. This role offers the opportunity for line management or technical mentoring of fellow analytics engineers but doesn’t strictly require it.

Responsibilities 

• Data platform ownership and vision: define and execute the technical roadmap for our core data platform, ensuring highest levels of reliability, observability, data quality and flexibility.

• Build for self-service: design and implement tooling that empowers Analytics Engineers and Data Scientists to build their own pipelines and models safely and autonomously, removing yourself as a bottleneck.

• Leverage our data: drive business impact within your squad through sophisticated ways of operationalising data in our products.

• Raise the bar: Lead through influence and collaborate with fellow Data team members to grow and improve our analytics and machine learning & AI platform and set technical standards across the organisation.

 Your profile 

• 5+ years of experience in a similar data engineering, analytics engineering or backend engineering role. You have a proven track record of building and scaling data systems in production environments.

• Highly proficient in Python and write maintainable, testable, and efficient code. You are also a SQL expert who understands how to optimize complex queries and design resilient data models.

• Experience or a deep interest in managing "Data Infrastructure as Code." We lean heavily on open-source solutions like Dagster and self-host on GCP via Kubernetes. Familiarity with these, or the ability to navigate K8s environments, is a massive plus.

• Comfortable within the Google Cloud (GCP) ecosystem (or similar) and have experience with data warehouses like BigQuery and cloud storage patterns.

• You advocate for CI/CD, automated testing, and observability. You believe that a data platform should be treated with the same discipline as a core product.

• A clear and bold communicator who knows how to “scale themselves” through precise documentation and written guides while also enjoying direct collaboration across squads.

Technologies we use

• Programming languages: Python, SQL

• Core data platform tools and frameworks: Dagster, dlt and Airbyte, dbt, data-diff, Elementary

• Data lake and warehouse: BigQuery, Iceberg + BigLake

• Infrastructure: Cloud Run, Cloud Storage, GKE (Google Kubernetes Engine), Terraform

How we reward our team 🎁

• Dynamic hybrid working environment with a diverse and driven team

• Huge opportunity for learning in a high growth environment, with progression opportunities based on success in the role

• 25 days of holiday allowance plus public holidays

• 1 Birthday Day Off + 2 Tenure-Based Additional Days Off

• Subsidised Private Medical Insurance including dental, vision & mental health therapy

• Bi-annual performance reviews and tailored development plans

• Competitive salary + EMI options scheme

• Annual compensation review 

• Team lunch provided once a week

• Quarterly team socials and annual sports day (HIVED Olympics)

• Enhanced maternity/paternity/adoption policy as day 1 right

• Community volunteer days

• Cycle to work scheme

• Dog friendly office and depots

• MacBook Air or Pro (depending on your preference)

🔍 Want to learn more?

• 🎥 Meet the team in 60 seconds: Behind the scenes with HIVED

• 🐝 Read recent HIVEDmind engineering blogs here

• HIVED is B Corporation certified

• HIVED is #7 on The Sunday Times Tech 100

• Read how HIVED raised $42M to transform parcel delivery with AI and all-electric logistics network

• Check the Impact Report 2024

• Keep up with HIVED ✨ here ✨